coefplot: Plotting Model Coefficients

Description

Provides an S3 generic method for plotting coefficients from a model so it can be extended to other model types.

A graphical display of the coefficients and standard errors from a fitted model

Usage

coefplot(model, ...)

Arguments

model

The fitted model with coefficients to be plotted

…

See coefplot.lm for argument details

Value

A ggplot2 object or data.frame. See details in coefplot.lm for more information

Details

Currently, methods are available for lm, glm and rxLinMod objects.

coefplot is the S3 generic method for plotting the coefficients from a fitted model.

This can be extended with new methods for other types of models not currently available.

A future iteration of coefplot.glm will also allow for plotting the coefficients on the transformed scale.

See coefplot.lm for specific documentation and the return value.

Examples

Run this code

# NOT RUN {
data(diamonds)
head(diamonds)
model1 <- lm(price ~ carat + cut*color, data=diamonds)
model2 <- lm(price ~ carat*color, data=diamonds)
model3 <- glm(price > 10000 ~ carat*color, data=diamonds)
coefplot(model1)
coefplot(model2)
coefplot(model3)
coefplot(model1, predictors="color")
coefplot(model1, predictors="color", strict=TRUE)
coefplot(model1, coefficients=c("(Intercept)", "color.Q"))
coefplot(model1, predictors="cut", coefficients=c("(Intercept)", "color.Q"), strict=TRUE)
coefplot(model1, predictors="cut", coefficients=c("(Intercept)", "color.Q"), strict=FALSE)
coefplot(model1, predictors="cut", coefficients=c("(Intercept)", "color.Q"), 
strict=TRUE, newNames=c(color.Q="Color", "cut^4"="Fourth"))
coefplot(model1, predictors=c("(Intercept)", "carat"), newNames=c(carat="Size"))
coefplot(model1, predictors=c("(Intercept)", "carat"), 
newNames=c(carat="Size", "(Intercept)"="Constant"))

# }